70results about How to "Maximum accuracy" patented technology

A probe device for use in non-invasive optical measurements of at least one parameter of the patient's blood. The probe device comprises a finger holder in the form of a clip member that secures a fingertip between its clamping legs. The probe device supports a measuring unit for applying optical measurements to a measurement location on the finger and carries a pressurizing assembly operable for applying controllably variable, substantially under-systolic pressure to the finger in the vicinity of the measurement location. Several measurement sessions are performed at the measurement location with at least two different 3 wavelength of incident light to detect light response of the medium and generate measured data indicative thereof, and the pressure applied to the vicinity of the measurement location is simultaneously varied during measurements. The light response of the medium corresponding to different wavelength of the incident light and different pressure values during measurements. The light response of the medium corresponding to different wavelength of the incident light and different pressure values is analyzed, and an optimal pressure value is determined, so as to utilize the corresponding light response of the medium for deriving therefrom the at least on blood parameter.

The present invention leverages changes in the sensed strength of radio signals at different locations to determine a device's location. In one instance of the invention, inference procedures are used to process ambient commercial radio signals, to estimate a location or a probability distribution over the locations of a device. In an instance of the invention, learning and inference methods are applied to rank vector of signal strength vectors. Moving to such rank orderings leads to methods that bypass consideration of absolute signal strengths in location calculations. The invention facilitates approximations for locating a device by providing a method that does not require a substantial number of available ambient signal strengths while still providing useful location inferences in determining locations.

A method of constructing a virtual model of a gemstone including the steps of performing measurements of the gemstone to construct a three-dimensional (3D) model of an exterior surface of the gemstone; identifying one or more visible inclusions within an interior volume of the gemstone; for each identified inclusion, performing the steps of determining a location and 3D shape of the inclusion within the interior volume of the gemstone; capturing at least one image of the inclusion; using the at least one image to determine relevant optical characteristics of the inclusion; and constructing a 3D virtual model of the inclusion, said model including the 3D shape of the inclusion and optical properties of the inclusion based upon said optical characteristics; constructing a 3D virtual model of the gemstone which includes the 3D virtual model of the exterior surface of the gemstone and the 3D virtual models of the one or more visible inclusions within the interior volume of the gemstone; and generating a dataset representing said 3D virtual model, wherein said dataset may be used in subsequent computer analysis to provide a user with information relating to a visual characteristic of the gemstone.

The invention relates to the identification and use of gene expression profiles, or patterns, suitable for identification of populations that are positive and negative for estrogen receptor expression. The gene expression profiles may be embodied in nucleic acid expression, protein expression, or other expression formats, and may be used in the study and/or diagnosis of cells and tissue in breast cancer as well as for the study and/or determination of prognosis of a patient, including breast cancer survival.

A statistical (a) Computer Aided Diagnostic (CAD) technique is described for symptomatic versus asymptomatic plaque automated classification of carotid ultrasound images and (b) presents a cardiovascular risk score computation. We demonstrate this for longitudinal Ultrasound, CT, MR modalities and extendable to 3D carotid Ultrasound. The on-line system consists of Atherosclerotic Wall Region estimation using AtheroEdge™ for longitudinal Ultrasound or Athero-CTView™ for CT or Athero-MRView from MR. This greyscale Wall Region is then fed to a feature extraction processor which uses the combination: (a) Higher Order Spectra; (b) Discrete Wavelet Transform (DWT); (c) Texture and (d) Wall Variability. Another combination uses: (a) Local Binary Pattern; (b) Law's Mask Energy and (c) Wall Variability. Another combination uses: (a) Trace Transform; (b) Fuzzy Grayscale Level Co-occurrence Matrix and (c) Wall Variability. The output of the Feature Processor is fed to the Classifier which is trained off-line.

The present invention leverages changes in the sensed strength of radio signals at different locations to determine a device's location. In one instance of the present invention, inference procedures are used to process ambient commercial radio signals, to estimate a location or a probability distribution over the locations of a device. In another instance of the present invention, a system utilizes learning and inference methods that are applied to rank vector of signal strength vectors. Moving to such rank orderings leads to systems that bypass consideration of absolute signal strengths in location calculations. The present invention facilitates approximations for locating a device by providing a system that does not require a substantial number of available ambient signal strengths while still providing useful location inferences in determining locations.

A method of optimising a model Mx suitable for use in data analysis and determining a prognostic outcome specific to a particular subject (input vector x), the subject comprising a number of variable features in relation to a scenario of interest for which there is a global dataset D of samples also having the same features relating to the scenario, and for which the outcome is known is disclosed. In one implementation, the method includes: (a) determining what number and a subset Vx of variable features will be used in assessing the outcome for the input vector x; (b) determining what number Kx of samples from within the global data set D will form a neighbourhood about x; (c) selecting suitable Kx samples from the global data set which have the variable features that most closely accord to the variable features of the particular subject x to form the neighbourhood Dx; (d) ranking the Vx variable features within the neighbourhood Dx in order of importance to the outcome of vector x and obtaining a weight vector Wx for all variable features Vx; (e) creating a prognostic model Mx, having a set of model parameters Px and the other parameters from (a)-(d); (f) testing the accuracy of the model Mx at e) for each sample from Dx; (g) storing both the accuracy from (f), and the model parameters developed in (a) to (e); (h) repeating (a) and/or (b) whilst applying an optimisation procedure to optimise Vx and/or Kx, to determine their optimal values, before repeating (c)-(h) until maximum accuracy at (f) is achieved.

The invention relates to the identification and use of gene expression profiles, or patterns, suitable for identification of breast cancer patient populations with different survival outcomes. The gene expression profiles may be embodied in nucleic acid expression, protein expression, or other expression formats, and may be used in the study and/or determination of the prognosis of a patient, including breast cancer survival.

The invention relates to a method for determining the position of at least one object (13, 22, 23), which is characterized in that images of at least one object (13, 22, 23) are captured by means of a single electronic camera (21). At least one optical auxiliary structure (1) is arranged on the object (13, 22, 23) to be measured or on other constructions that have a permanent spatial relationship to the object (13, 22, 23) to be measured. The measures/positions of the at least one object (13, 22, 23) in relation to the at least one reference position or a reference position which is simultaneously captured by the camera (21) are determined by evaluating the positions of the at least one auxiliary structure (1) in the captured images by means of a computer program. The invention also relates to a software and to an auxiliary transfer device which at one end comprises a coupling element (5) which allows a distinctly repositionable assembly on a face bow (20) comprising optical auxiliary structures (1) or on a device for the assembly (17) of at least one jaw model in an articulator (4) on a corresponding counterpart. The invention also relates to a device for the assembly of at least one jaw model in an articulator and to auxiliary devices for carrying out said method.

In accordance with some embodiments, a floating point number datapath circuitry, e.g., within an integrated circuit programmable logic device is provided. The datapath circuitry may be used for computing a rounded absolute value of a mantissa of a floating point number. The floating point datapath circuitry may have only a single adder stage for computing a rounded absolute value of a mantissa of the floating point number based on one or more bits of an unrounded mantissa of the floating point number. The unrounded and rounded mantissas may include a sign bit, a sticky bit, a round bit, and/or a least significant bit, and/or other bits. The unrounded mantissa may be in a format that includes negative numbers (e.g., 2's complement) and the rounded mantissa may be in a format that may include a portion of the floating point number represented as a positive number, (e.g., signed magnitude).

A prediction modeling system and computer program product for implementing forecasting models that involve numerous measurement locations, e.g., urban occupancy traffic data. The system a data volatility reduction technique based on computing a congestion threshold for each prediction location, and using that threshold in a filtering scheme. Through the use of calibration, and by obtaining an extremal or other specified solution (e.g., maximization) of empirical volume-occupancy curves as a function of the occupancy level, significant accuracy gains are achieved and at virtually no loss of important information to the end user. The calibration use quantile regression to deal with the asymmetry and scatter of the empirical data. The argmax of each empirical function is used in a unidimensional projection to essentially filter all fully congested occupancy level and treat them as a single state.

The plant comprises: —an upstream conveyor (2), —a downstream conveyor (4), —a regulating device (7) comprising a system of retractable stops (13) which are inserted temporarily between two consecutive products in a single column, —and means for adjusting the speed of the different conveyors (2, 4), said plant additionally comprising means for adjusting the width of the passages of said adjusting device (7) in order to adapt the width of these passages to the dimensions of said products, and also comprising means for longitudinally adjusting the space between the consecutive rows of stops (13) which move along with the products.

The invention relates to multi-phase clock system for receiving a plurality of clock signals (CLK_o-n) comprising actual time events (aTE) defining different clock phases, the clock signals all having a same clock frequency but different clock phases, the system further arranged for receiving a reference clock signal (REFCLK) for providing reference time events (rTE) for the plurality of clock signals (CLK_o-n), the reference clock signal (REFCLK) having a reference frequency different from the clock frequency, the reference frequency being selected such that each one of the subsequent reference time events (rTE) coincides with a desired time event (dTE) for a single one of the plurality of clock signals (CLK_o-n).

The present disclosure relates to a method of assembling hardpoints in aeronautical structures, and more specifically, the disclosed method allows knowing the relative deviation of the hardpoints and of the positioning elements of the hardpoints with respect to a laser beam emitted by a laser collimator fixed to an adjustable support which can be adjusted in at least two directions in space, and by using a correction algorithm, it is possible to know the displacement necessary for locating the positioning elements such that they are aligned with respect to the hardpoints, the positioning elements in turn being moved as a result of the movement of the driven linear tables in one or in several iterative steps, at which time the position thereof is fixed and they are ready for the rest of the hardpoints to be assembled.

A method, a system and a module are proposed for detecting and locating faults in an optical multi channel network composed of network nodes. The method includes assigning different sub-carrier pilot tones to a number of the nodes comprising Network Elements (NE), applying the different sub-carrier pilot tones to any signal added to the network via the respective nodes, checking presence of one or more of the sub-carrier pilot tones at one or more points of the network, and, based on results of the checking, locating a faulty section of the network in case a fault occurred.